This book examines the consequences of misspecifications ranging from the fundamental to the nonexistent for the interpretation of likelihood-based methods of statistical estimation and interference. Professor White first explores the underlying motivation for maximum-likelihood estimation, treats the interpretation of the maximum-likelihood estimator (MLE) for misspecified probability models and gives the conditions under which parameters of interest can be consistently estimated despite misspecification and the consequences of misspecification for hypothesis testing in estimating the asymptotic covariance matrix of the parameters. The analysis concludes with an examination of methods by which the possibility of misspecification can be empirically investigated and offers a variety of tests for misspecification.
"synopsis" may belong to another edition of this title.
This book examines the consequences of misspecifications for the interpretation of likelihood-based methods of statistical estimation and interference. The analysis concludes with an examination of methods by which the possibility of misspecification can be empirically investigated.
"...this often elegant and rigorous treatment of a wide variety of theoretical issues related to likelihood methods represents a useful contribution to the theoretical econometric literature on estimation and inference in possible misspecified models. The book should prove to be a useful reference book for econometric theorists. It should also be a useful reference and text for advanced graduate students wanting to learn about likelihood methods as well as the process of rigourous analysis of econometric methods in general." Journal of Economic Literature
"About this title" may belong to another edition of this title.
US$ 6.00 shipping within U.S.A.
Destination, rates & speedsSeller: Midtown Scholar Bookstore, Harrisburg, PA, U.S.A.
hardcover. Condition: Very Good. number 22 of Econometric Society Monographs With very good dust jacket. Very Good hardcover with light shelfwear - NICE! Standard-sized. Seller Inventory # mon0000293125
Quantity: 2 available
Seller: MB Books, Derbyshire, United Kingdom
Hardcover. Condition: Good. No Jacket. Condition : Good. Former-university library copy with associated library stamps etc. Hard cover, no jacket. 380pp. No highlighting or annotations to text. Please note the image is a stock photo - not the actual copy. Seller Inventory # 942795
Quantity: 1 available
Seller: Emile Kerssemakers ILAB, Heerlen, Netherlands
23 cm. original cloth, dustjacket. x,380 pp. references. index. "Econometric Society Monographs". -(very) good. 655g. Seller Inventory # 72595
Quantity: 1 available
Seller: Puvill Libros, Barcelona, B, Spain
Seller Inventory # 9780521252805
Quantity: 1 available
Seller: Toscana Books, AUSTIN, TX, U.S.A.
Hardcover. Condition: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks. Seller Inventory # Scanned0521252806
Quantity: 1 available
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Condition: New. Seller Inventory # ABLIING23Feb2215580247960
Quantity: Over 20 available
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Condition: New. In. Seller Inventory # ria9780521252805_new
Quantity: Over 20 available
Seller: California Books, Miami, FL, U.S.A.
Condition: New. Seller Inventory # I-9780521252805
Quantity: Over 20 available
Seller: Grand Eagle Retail, Mason, OH, U.S.A.
Hardcover. Condition: new. Hardcover. This book examines the consequences of misspecifications ranging from the fundamental to the nonexistent for the interpretation of likelihood-based methods of statistical estimation and interference. Professor White first explores the underlying motivation for maximum-likelihood estimation, treats the interpretation of the maximum-likelihood estimator (MLE) for misspecified probability models and gives the conditions under which parameters of interest can be consistently estimated despite misspecification and the consequences of misspecification for hypothesis testing in estimating the asymptotic covariance matrix of the parameters. The analysis concludes with an examination of methods by which the possibility of misspecification can be empirically investigated and offers a variety of tests for misspecification. This book examines the consequences of misspecifications ranging from the fundamental to the nonexistent for the interpretation of likelihood-based methods of statistical estimation and interference. Professor White first explores the underlying motivation for maximum-likelihood estimation, treats the interpretation of the maximum-likelihood estimator (MLE) for misspecified probability models and gives the conditions under which parameters of interest can be consistently estimated despite misspecification and the consequences of misspecification for hypothesis testing in estimating the asymptotic covariance matrix of the parameters. The analysis concludes with an examination of methods by which the possibility of misspecification can be empirically investigated and offers a variety of tests for misspecification. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780521252805
Quantity: 1 available
Seller: BennettBooksLtd, San Diego, NV, U.S.A.
hardcover. Condition: New. In shrink wrap. Looks like an interesting title! Seller Inventory # SL-9780521252805
Quantity: 1 available